Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_gdal.cpython-37m-mips64el-linux-gnuabi64.so |
FileSize | 630368 |
MD5 | 412590EB77AE2B2AD47E40B26E1C5DBA |
SHA-1 | 2FEF9B2D1C943E251F9E30040970514EAD003821 |
SHA-256 | EDB7C5D182D6F65A996518B3E73814A775B1DA39C8240315C5CBB88D9DE37235 |
SSDEEP | 6144:C31x+7l1HOj7WSsei3OY0fpxfE0g64AF3szOtfd7ngAAddCqjrWToUhPe1x:CFxWafPg64ZzIVNAPP6UUhP6 |
TLSH | T103D408E82B041F53E8EDCF778D7CD177212C6C9621A29D136DACA935250B9AF1DD2C0A |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 529704 |
MD5 | 17AD3EF103D32FFB87AA6B636B8907BB |
PackageDescription | Python 3 bindings to the Geospatial Data Abstraction Library GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data. . GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS. . OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more. . This package contains Python 3 bindings for GDAL/OGR library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 2.4.0+dfsg-1+b1 |
SHA-1 | A92631E2D0313C3925CF086B7F6DF39DF8A5336B |
SHA-256 | BCF1A7E89DFDBE533AB902D4441C0F4DE205A10952411BE134C5DBB6BFD3436A |